Timeplus Enterprise 3.1

Key Highlights

Key highlights of the Timeplus 3.1 release include:

• Timeplus Inputs

  Timeplus input is a new concept which allows users to push / stream data to the inputs by leveraging existing data ecosystem and tools.

  In this release, the following inputs are supported.

  • Splunk S2S
  • Splunk HEC
  • Datadog
  • Elastic
  • OpenTelemetry
  • Netflow / IPFIX
  • Syslog

• Microsoft Sentinel External Table (Output)

  User can write security events to Microsoft Sentinel by using this external table now.

• Performance Enhancements

  • Bidirectional direct join for Mutable streams
  • Historical data backfill concurrency control backfill_max_threads query setting
  • Big performance improvements on Protobuf Kafka record streaming parsing.
  • Better HTTP Connection Pooling
  • Better Materialized View Workload Rebalance

• System Observability Enhancements

  • Provide disk IO utilization of each node in the cluster
  • More lagging insights in historical store : v_stream_applied_lags
  • More metrics for Streaming Join

Supported OS

Deployment Type	OS
Linux bare metal	x64 or ARM chips: Ubuntu 20.04+, RHEL 8+, Fedora 35+, Amazon Linux 2023
Mac bare metal	Intel or Apple chips: macOS 14, macOS 15
Kubernetes	Kubernetes 1.25+, with Helm 3.12+

Releases

We recommend using stable releases for production deployment. Engineering builds are available for testing and evaluation purposes.

3.1.1

Released on 01-29-2026. Installation options:

• For Linux or Mac users: curl https://install.timeplus.com/3.0 | sh Downloads
• For Docker users (not recommended for production): docker run -p 8000:8000 docker.timeplus.com/timeplus/timeplus-enterprise:3.1.1
• For Kubernetes users: helm install timeplus/timeplus-enterprise --version TBD

Component versions:

• timeplusd 3.1.1
• timeplus_appserver 3.0.47
• timeplus_connector 3.0.21
• timeplus cli 3.0.0
• timeplus byoc 1.0.0

Changelog

Inputs

• Splunk S2S
• Splunk HEC
• Datadog
• Elastic
• OpenTelemetry
• Netflow / IPFIX
• Syslog

Outputs

• Microsoft Sentinel External Table

Other Functionalities

• Python table function for read, write and transform
• Immutable column _tp_index_time for mutable stream

Performance

• Bidirectional direct join for Mutable streams
• Historical data backfill concurrency control “backfill_max_threads” query setting
• Big performance improvements on Protobuf Kafka record streaming parsing.
• Better HTTP Connection Pooling
• Better Materialized View Workload Rebalance

System Observability Enhancements

• Provide disk IO utilization of each node in the cluster
• More lagging insights in historical store : v_stream_applied_lags
• More internal observability metrics for streaming Join

Bugfixes

• Quite a few bugfixes for Mutable stream
• Bugfixes for Materialized View checkpointing